買這商品的人也買了...
-
$2,280Working Effectively with Legacy Code (Paperback) -
Spring in Action, 4/e (Paperback)$1,900$1,805 -
Arduino 官方正版 Genuino 101$1,700$1,700 -
Raspberry Pi 3 Model B+ (UK製)$4,620$4,389 -
JVM Performance Engineering: Inside OpenJDK and the HotSpot Java Virtual Machine (Paperback)$1,980$1,881 -
晉昇軟體最高殿堂：Jenkins2 持續整合大師之路$600$474 -
Deep Learning with JavaScript: Neural Networks in Tensorflow.Js$1,650$1,568 -
JavaScript 技術手冊$560$442 -
Building a Future-Proof Cloud Infrastructure: A Unified Architecture for Network, Security and Storage Services (Paperback)$1,998$1,898 -
Microservices Security in Action$1,980$1,881 -
Java SE 14 技術手冊$680$537 -
Parallel and High Performance Computing (Paperback)$2,450$2,328 -
$1,840Multithreaded JavaScript: Concurrency Beyond the Event Loop -
$2,475Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures (Paperback) -
Structure and Interpretation of Computer Programs: JavaScript Edition (Paperback)$2,680$2,626 -
$1,824Mastering API Architecture: Design, Operate, and Evolve Api-Based Systems (Paperback) -
OAuth 2.0 從入門到實戰：利用驗證和授權守護 API 的安全$600$510 -
$2,233Functional and Concurrent Programming: Core Concepts and Features -
$1,805Functional Design: Principles, Patterns, and Practices (Paperback) -
Learn Ai-Assisted Python Programming: With Github Copilot and Chatgpt (Paperback)$1,980$1,881 -
PostgreSQL 數據庫實戰派$708$673 -
OpenTelemetry 入門指南：建立全面可觀測性架構（iThome鐵人賽系列書）【軟精裝】$750$375 -
$2,043Learning Systems Thinking: Essential Nonlinear Skills and Practices for Software Professionals (Paperback) -
Collaborative Software Design: How to Facilitate Domain Modeling Decisions$1,980$1,881 -
$2,119Mastering Opentelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages
相關主題
商品描述
Generate actionable insights about your cloud native systems. This book teaches you how to set up an observability system that learns from a cloud application's signals, logging, and monitoring using free and open source tools.
In Cloud Observability in Action you will learn how to:
- Apply observability in cloud native systems Understand observability signals, including their costs and benefits Apply good practices around instrumentation and signal collection Deliver dashboarding, alerting, and SLOs/SLIs at scale Choose the correct signal types for given roles or tasks Pick the right observability tool for any given function Communicate the benefits of observability to management
Cloud native, serverless, and containerized applications are made up of hundreds of moving parts. When something goes wrong, it's not enough to just know there is a problem--you need to know where it is, what it is, and even how to fix it. Cloud Observability in Action shows you how to go beyond the traditional monitoring and build observability systems that turn application telemetry into actionable insight.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
A well-designed observability system provides insight into bugs and performance issues in cloud native applications. Often, observability is the difference between an error message and an explanation! You know exactly which service is affected, who's responsible for its repair, and even how it can be optimized in the future. Best of all, observability allows you to easily automate your error handling with machine users applying fixes without any human help.
About the book
Cloud Observability in Action teaches you to apply observability practices to cloud-based serverless and Kubernetes environments. In this one-of-a-kind guide, author Michael Hausenblas shares insights from his extensive experience building, monitoring, and improving cloud native systems.
You'll use open source tools like Prometheus and Grafana to build your own observability system without having to rely on proprietary software. Learn how to use telemetry and destinations to continuously generate and discover insights from different signals, including logs, metrics, traces, and profiles. Throughout, use cases and rigorous cost-benefit analysis make sure you're getting a real return on your investment in observability.
About the reader
For developers and SREs who have worked with cloud native applications. This book can be used with any public cloud.
About the author
Michael Hausenblas is a Solution Engineering Lead in the AWS open source observability service team. He covers Prometheus, Grafana, and OpenTelemetry upstream and in managed services. Before Amazon, Michael worked at Red Hat, Mesosphere (now D2iQ), and MapR.
商品描述(中文翻譯)
生成可行的洞察力，了解您的雲原生系統。本書教您如何使用免費和開源工具設置一個觀察性系統，從雲應用程序的信號、日誌和監控中學習。
在《雲觀察性實踐》中，您將學習如何：
- 在雲原生系統中應用觀察性，了解觀察性信號，包括其成本和效益，應用儀器和信號收集的最佳實踐，提供可擴展的儀表板、警報和服務水平目標/指標，為特定角色或任務選擇正確的信號類型，為任何給定功能選擇合適的觀察性工具，向管理層傳達觀察性的好處。
雲原生、無伺服器和容器化應用程序由數百個活動部件組成。當出現問題時，僅僅知道有問題是不夠的——您需要知道問題出在哪裡、是什麼問題，甚至如何修復它。《雲觀察性實踐》向您展示如何超越傳統監控，構建將應用程序遙測轉化為可行洞察的觀察性系統。
購買印刷版書籍可獲得Manning Publications提供的免費PDF、Kindle和ePub格式電子書。
關於技術
設計良好的觀察性系統提供對雲原生應用程序中的錯誤和性能問題的洞察。觀察性通常是錯誤消息和解釋之間的區別！您確切知道受影響的服務是什麼，誰負責修復它，甚至未來如何優化它。最重要的是，觀察性使您能夠輕鬆自動化錯誤處理，讓機器用戶在沒有任何人類幫助的情況下應用修復。
關於本書
《雲觀察性實踐》教您將觀察性實踐應用於基於雲的無伺服器和Kubernetes環境。在這本獨特的指南中，作者Michael Hausenblas分享了他在構建、監控和改進雲原生系統方面的豐富經驗。
您將使用Prometheus和Grafana等開源工具構建自己的觀察性系統，而無需依賴專有軟件。學習如何使用遙測和目的地持續生成和發現來自不同信號的洞察，包括日誌、指標、追蹤和配置文件。在整個過程中，使用案例和嚴謹的成本效益分析確保您在觀察性上的投資獲得真正的回報。
關於讀者
適合曾經與雲原生應用程序合作的開發人員和SRE。本書可用於任何公共雲。
關於作者
Michael Hausenblas是AWS開源觀察性服務團隊的解決方案工程主管。他負責Prometheus、Grafana和OpenTelemetry的上游和管理服務。在加入亞馬遜之前，Michael曾在Red Hat、Mesosphere（現為D2iQ）和MapR工作。
作者簡介
Michael Hausenblas is a Solution Engineering Lead in the AWS open source observability service team. He covers Prometheus, Grafana, and OpenTelemetry upstream and in managed services. Before Amazon, Michael worked at Red Hat, Mesosphere (now D2iQ), and MapR.
作者簡介(中文翻譯)
Michael Hausenblas 是 AWS 開源可觀察性服務團隊的解決方案工程主管。他負責 Prometheus、Grafana 和 OpenTelemetry 的上游及管理服務。在加入亞馬遜之前，Michael 曾在 Red Hat、Mesosphere（現為 D2iQ）和 MapR 工作。
